A natural language parser is a program that works out the grammatical structure of sentences, for instance, which groups of words go together (as \"phrases\") and which words are the subject or object of a verb. Probabilistic parsers use knowledge of language gained from hand-parsed sentences to try to produce the most likely analysis of new sentences.

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F# extensions for Stanford.NLP.Parser
The library contains fundamental classes and base classes that define commonly-used value and reference data types, abstract classes, and attributes for implmenting the risk factor recognition and time attribute assigner for the i2b2 2014 shared task track 2.

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Version History

Version Downloads Last updated
3.9.2 2,711 5/1/2019
3.9.1 2,066 3/3/2018
3.8.0 1,653 9/9/2017 1,407 4/9/2017
3.7.0 1,131 1/13/2017
3.6.0 2,820 12/28/2015 791 10/5/2015
3.5.2 7,394 5/22/2015
3.5.1 1,432 2/14/2015
3.5.0 1,140 12/3/2014
3.4.0 1,590 6/21/2014 900 5/2/2014
3.3.0 1,446 11/27/2013
3.2.0 1,168 7/7/2013
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